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Link Library: 97 Things Every Programmer Should Know

April 20, 2012 by Jacob Bettany   Comments (0)

The home page for the 97 Things Every Programmer Should Know project, pearls of wisdom for programmers collected from leading practitioners. You can read through the Contributions Appearing in the Book plus the Other Edited Contributions, browse Contributions in Progress, view the list of Contributors, and also learn How to Become a Contributor.

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Link Library: RQuantLib interface from GNU R to QuantLib

April 20, 2012 by Jacob Bettany   Comments (0)

RQuantLib started with support for (vanilla and exotic) equity options. Standard European and American exercises are supported as well as Binary and Barrier options. Asian options are supported with both geometric and arithmetic compounding.

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Link Library: quantmod: Quantitative Financial Modelling Framework

April 20, 2012 by Jacob Bettany   Comments (0)

The quantmod package for R is designed to assist the quantitative trader in the development, testing, and deployment of statistically based trading models.

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Link Library: The R Project for Statistical Computing Homepage

April 20, 2012 by Jacob Bettany   Comments (0)

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

read more...

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Link Library: The R Project for Statistical Computing on Linkedin

April 20, 2012 by Jacob Bettany   Comments (0)

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

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